Researchers at the University of California, Berkeley, said that combining neural networks with motion-planning software will give robots the speed and skill to assist in warehouse environments.
Dexterity Inc. emerges from stealth with $56M in funding for full stack robotic picking
Dexterity Inc., which has raised $56.2 million so far, has developed robotics hardware and software for picking, collaboration, and packing.
Michigan State finds that stronger soft gripper could lead to safer human-robot interactions
A team of Michigan State University researchers has built flexible hybrid pneumatic actuator, which could enable safer human-machine interaction with safer robot end effectors.
NUS researchers improve robot sensing abilities with Intel Loihi neuromorphic chip
A novel system made of up neural networks powered by Intel’s Loihi neuromorphic chip could lead to better robotic senses of touch and vision, according to NUS researchers.
RIOS raises funding, emerges from stealth with AI driven dexterous robots
RIOS has raised $5 million as it emerges from stealth and offers its DX-1 multipurpose robot for complex component assembly and other tasks.
Covariant raises Series B funding for ‘AI robotics’ for unassisted autonomous manipulation
Covariant, which is developing AI for unassisted industrial robotics applications, has raised $40 million.
Tactile robot finger at Columbia Engineering is the first without blind spots
Researchers at Columbia University claimed to be the first to develop and demonstrate a robot finger with a highly precise sense of touch over a complex, multicurved surface.
How robots autonomously see, grasp, and pick
You sign into your workstation. A tote of mixed items arrives in front of you. You reach in, pick an item out, and place it in a container on the conveyor to your side. This incredibly simple task, done in a matter of seconds and without much thought, illustrates what a highly evolved machine you…
RE2 Inc. to Develop DMS for U.S. Navy
PITTSBURGH, PA – RE2, Inc. announced today that it has been competitively awarded a Phase II Small Business Innovation Research (SBIR) program by the U.S. Navy to develop a Dexterous Manipulation System (DMS) for mobile robots and explosive ordnance disposal (EOD) robotic platforms.